AI Optimization Subcore Office Hours and Discussion Forum

Discussion Overview
Medical AI systems that demonstrate impressive performance in controlled research settings frequently underperform or fail when deployed in real-world clinical environments. The gap between "proof of concept" and sustained clinical value lies not in algorithmic sophistication, but in the quality infrastructure supporting deployment. This talk presents a practical implementation science framework addressing three critical components: label quality control, real-world monitoring, and post-market surveillance.

About the Speaker
Dr. Judy Gichoya is an associate professor at Emory University in Interventional Radiology and Informatics leading the HITI (Healthcare AI Innovation and Translational Informatics) lab. Her work applies data science and AI in healthcare. She has mentored over 60 students across the world (now successful faculty, post doc, PHD and industry employees) from several institutions around the world. Additionally, Dr. Gichoya has received several awards including the most influential radiology researcher in 2022, and is a 2023 Emerging Scholar in the National Academy of Medicine.

Related links
AI Optimization Subcore Webpage